• DocumentCode
    493543
  • Title

    Research on Distribution Centers Location Problem under E-Commerce Environment Based on Max-Min Ant System

  • Author

    Chen, Zixia ; Wang, Yeqing

  • Author_Institution
    Center for Res. in Modern Bus., ZJGSU, Hangzhou
  • Volume
    1
  • fYear
    2009
  • fDate
    7-8 March 2009
  • Firstpage
    809
  • Lastpage
    813
  • Abstract
    The distribution center (DC) plays an important role as a bridge in maintaining the uninterrupted flow of goods between the suppliers and customers, and its location problem is attached importance very much. As electronic commerce is developing rapidly, it brings new distribution demand for logistics; in particular customers require more satisfying service of time. In this paper, the existing distribution center location model is expanded by adding time cost and considering the situation with multi-suppliers and multi-customers, so we construct the DCs location model under e-commerce. Meanwhile, this problem is divided into the supply stage and the distribution stage, and then we use the max-min ant clustering algorithm at these stages respectively to optimize the complete location problem. A numerical example is given to validate the feasibility of this algorithm, and the results indicate that this algorithm is suitable for the DC location with the existence of multi-suppliers and multi-customers.
  • Keywords
    electronic commerce; logistics; minimax techniques; pattern clustering; distribution centers location problem; electronic commerce; logistics; max-min ant clustering algorithm; multicustomers; multisuppliers; Bridges; Clustering algorithms; Cost function; Distributed control; Electronic commerce; Genetic algorithms; Linear programming; Logistics; Mathematical model; Time factors; Max-Min ant system; clustering; cost time; location problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-1-4244-3581-4
  • Type

    conf

  • DOI
    10.1109/ETCS.2009.184
  • Filename
    4958889